Customer churn modeling can help you identify which of your customers are likely to stop engaging with your business and why. The results can range from churn risk scores for individual customers to drivers of churn ranked by importance. Whatever the outputs, an effective predictive model must always be built with the structure of your business in mind.

In this video, Senior Data Scientist Ruslana Dalinina provides an introduction to churn modeling and explains which factors typically influence the way a churn model is built.